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Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
? Open-Source Evaluation & Testing for AI & LLM systems
A Python package to assess and improve fairness of machine learning models.
? Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
An experimental platform for federated learning.
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Fair Resource Allocation in Federated Learning (ICLR '20)
WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Paper List for Fair Graph Learning (FairGL).